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  <li><a href="#内置数据" id="toc-内置数据" class="nav-link active" data-scroll-target="#内置数据"><span class="toc-section-number">4.1</span>  内置数据</a></li>
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<h1 class="title d-none d-lg-block"><span class="chapter-number">4</span>&nbsp; <span class="chapter-title">Data I/O</span></h1>
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<p><img src="image/04/Import_Export.png" class="img-fluid figure-img"></p>
<p></p><figcaption class="figure-caption">载入和导出数据</figcaption><p></p>
</figure>
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<p>数据导入和导出（import and output），是分析软件必备的功能，也是第一步操作。 R的数据导入功能尤其强大，得益于几个强大的package。</p>
<p>想一想，数据来源于哪？</p>
<ul>
<li>内置数据–Built in Data</li>
<li>.csv, .txt. .xls, ….</li>
<li>SPSS, SAS, Stata</li>
<li>爬虫–Web Scraping</li>
<li>数据库–Databases</li>
<li>API</li>
<li>…</li>
</ul>
<section id="内置数据" class="level2" data-number="4.1">
<h2 data-number="4.1" class="anchored" data-anchor-id="内置数据"><span class="header-section-number">4.1</span> 内置数据</h2>
<p>R的内置数据，其实都是<code>rds</code>或`rda``为扩展名的数据文件，这类文件是R输出的，是R的原生数据文件</p>
<p>想要调用他们也非常简单，比如R默认的内置方法<code>data()</code>，里面有很多示例数据， 你可以自己在电脑上试验一下，看看里面有哪些datasets。</p>
<p>同样，很多R 的package里面也有自己的datasets，可以查看一下</p>
<div class="cell">
<div class="sourceCode cell-code" id="cb1"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a> ds1 <span class="ot">&lt;-</span> <span class="fu">data</span>(<span class="at">package=</span><span class="st">"cluster"</span>)   </span>
<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a>  ds1<span class="sc">$</span>results <span class="sc">%&gt;%</span> </span>
<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a>    <span class="fu">as.data.frame</span>() <span class="sc">%&gt;%</span> </span>
<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a>    .[,<span class="dv">3</span><span class="sc">:</span><span class="dv">4</span>]</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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{"columns":[{"label":["Item"],"name":[1],"type":["chr"],"align":["left"]},{"label":["Title"],"name":[2],"type":["chr"],"align":["left"]}],"data":[{"1":"agriculture","2":"European Union Agricultural Workforces"},{"1":"animals","2":"Attributes of Animals"},{"1":"chorSub","2":"Subset of C-horizon of Kola Data"},{"1":"flower","2":"Flower Characteristics"},{"1":"plantTraits","2":"Plant Species Traits Data"},{"1":"pluton","2":"Isotopic Composition Plutonium Batches"},{"1":"ruspini","2":"Ruspini Data"},{"1":"votes.repub","2":"Votes for Republican Candidate in Presidential Elections"},{"1":"xclara","2":"Bivariate Data Set with 3 Clusters"}],"options":{"columns":{"min":{},"max":[10]},"rows":{"min":[10],"max":[10]},"pages":{}}}
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<p>当你加载（library）一个包时，它里面的dataset也会同时加载，想要调用某个数据集，直接输入其名字即可。</p>
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<section id="载入读取数据" class="level2" data-number="4.2">
<h2 data-number="4.2" class="anchored" data-anchor-id="载入读取数据"><span class="header-section-number">4.2</span> 载入/读取数据</h2>
<div class="quarto-figure quarto-figure-center">
<figure class="figure">
<p><img src="image/04/snapimport.png" class="img-fluid figure-img"></p>
<p></p><figcaption class="figure-caption">载入数据窗口</figcaption><p></p>
</figure>
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<p>表格数据的常见格式R都支持，可以在Rstudio直接操作（如图），并且不需要任何包就可以读取如csv、dcf、rds、rda R基础包，也就是没安装任何包之前，有一些基础函数，如<code>read.csv</code>，可以读取csv文件，读取完之后会将其作为一个data.frame对象。既可以读取本地，也可以读取网络链接。</p>
<div class="cell">
<div class="sourceCode cell-code" id="cb2"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb2-1"><a href="#cb2-1" aria-hidden="true" tabindex="-1"></a>df1 <span class="ot">&lt;-</span> <span class="fu">read.csv</span>(<span class="st">"https://labfile.oss.aliyuncs.com/courses/1283/mlbootcamp5_train.csv"</span>) <span class="sc">%&gt;%</span> </span>
<span id="cb2-2"><a href="#cb2-2" aria-hidden="true" tabindex="-1"></a>  <span class="fu">head</span>(<span class="dv">10</span>)  </span>
<span id="cb2-3"><a href="#cb2-3" aria-hidden="true" tabindex="-1"></a><span class="fu">class</span>(df1)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>[1] "data.frame"</code></pre>
</div>
<div class="sourceCode cell-code" id="cb4"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a>df2 <span class="ot">&lt;-</span> <span class="fu">read.csv</span>(<span class="st">"dataset/Song.csv"</span>)</span>
<span id="cb4-2"><a href="#cb4-2" aria-hidden="true" tabindex="-1"></a><span class="fu">head</span>(df2)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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<section id="读取其他文件" class="level3" data-number="4.2.1">
<h3 data-number="4.2.1" class="anchored" data-anchor-id="读取其他文件"><span class="header-section-number">4.2.1</span> 读取其他文件</h3>
<p>数据读取的包还有几个，包括<code>readr</code>，它属于tidyverse系列的包之一，命令与R基础包非常相似，与前面不同的是读取到的数据会被当做<code>tibble</code>对象。</p>
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<div class="sourceCode cell-code" id="cb5"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb5-1"><a href="#cb5-1" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(readr)</span>
<span id="cb5-2"><a href="#cb5-2" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb5-3"><a href="#cb5-3" aria-hidden="true" tabindex="-1"></a>df3 <span class="ot">&lt;-</span> <span class="fu">read_csv</span>(<span class="st">"dataset/Song.csv"</span>)</span>
<span id="cb5-4"><a href="#cb5-4" aria-hidden="true" tabindex="-1"></a><span class="fu">class</span>(df3)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code>[1] "spec_tbl_df" "tbl_df"      "tbl"         "data.frame" </code></pre>
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<p>当然，我们别忘了，读取excel的文件，采用的是<code>readxl</code>package</p>
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<p>此外，还有一个包<code>haven</code>，用来读取 SAS, SPSS, and Stata的数据文件 这里就不再用数据做演示了，只提供示例代码</p>
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<div class="sourceCode cell-code" id="cb7"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb7-1"><a href="#cb7-1" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(haven)</span>
<span id="cb7-2"><a href="#cb7-2" aria-hidden="true" tabindex="-1"></a>sas_mydf <span class="ot">&lt;-</span><span class="fu">read_sas</span>(<span class="st">"mydf.sas7bdat"</span>) <span class="co"># SAS文件读取</span></span>
<span id="cb7-3"><a href="#cb7-3" aria-hidden="true" tabindex="-1"></a>sav_mydf <span class="ot">&lt;-</span><span class="fu">read_sav</span>(<span class="st">"mydf.sav"</span>) <span class="co"># SPSS</span></span>
<span id="cb7-4"><a href="#cb7-4" aria-hidden="true" tabindex="-1"></a>dta_mydf <span class="ot">&lt;-</span><span class="fu">read_dta</span>(<span class="st">"mydf.dta"</span>) <span class="co"># Stata</span></span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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</section>
<section id="导出数据" class="level2" data-number="4.3">
<h2 data-number="4.3" class="anchored" data-anchor-id="导出数据"><span class="header-section-number">4.3</span> 导出数据</h2>
<p>读取数据学会了，导出数据就非常简单，前面大家都能总结出一定规律，凡是读取数据，都是read开头，导出数据，都是write开头。需要用到的包可以是openxlsx或writexl</p>
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<div class="sourceCode cell-code" id="cb8"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb8-1"><a href="#cb8-1" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(openxlsx)</span>
<span id="cb8-2"><a href="#cb8-2" aria-hidden="true" tabindex="-1"></a><span class="fu">write_csv</span>(quake, <span class="st">"dataset/quake.csv"</span>)</span>
<span id="cb8-3"><a href="#cb8-3" aria-hidden="true" tabindex="-1"></a><span class="fu">write.xlsx</span>(quake, <span class="st">"dataset/quake.xlsx"</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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</section>
<section id="瑞士军刀rio" class="level2" data-number="4.4">
<h2 data-number="4.4" class="anchored" data-anchor-id="瑞士军刀rio"><span class="header-section-number">4.4</span> 瑞士军刀rio</h2>
<p>前面，大家一定觉得，我要导入数据，为什么记这么多命令啊，难道不能一个包，统一命令？</p>
<p><code>rio</code>号称是I/O的扛把子，瑞士军刀</p>
<p>只需要记住两个命令，import和export。简单多了吧！</p>
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<div class="sourceCode cell-code" id="cb9"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb9-1"><a href="#cb9-1" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(rio)</span>
<span id="cb9-2"><a href="#cb9-2" aria-hidden="true" tabindex="-1"></a><span class="fu">import</span>(<span class="st">"dataset/quake.xlsx"</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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<div class="sourceCode cell-code" id="cb10"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb10-1"><a href="#cb10-1" aria-hidden="true" tabindex="-1"></a><span class="fu">export</span>(quake, <span class="st">"dataset/quake.rds"</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</div>
</section>
<section id="其他数据获取方式" class="level2" data-number="4.5">
<h2 data-number="4.5" class="anchored" data-anchor-id="其他数据获取方式"><span class="header-section-number">4.5</span> 其他数据获取方式</h2>
<p>可以从数据库读取、API读取，还可以利用爬虫爬取。</p>
<ul>
<li>Connecting to Databases: RSQLite</li>
<li>Web APIs</li>
<li>爬虫（https://www.scraperapi.com/blog/web-scraping-with-r/）</li>
</ul>


</section>

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